Evidence map›Paper›PMID 32097520›Full record

ReviewBiological reviews of the Cambridge Philosophical Society2020

Mixed company: a framework for understanding the composition and organization of mixed-species animal groups.

Eben Goodale, Hari Sridhar, Kathryn E Sieving, Priti Bangal, Gabriel J Colorado Z, Damien R Farine, Eckhard W Heymann, Harrison H Jones, Indrikis Krams, Ari E Martínez and 5 more

Abstract readReview
In one paragraph

Review in Biological reviews of the Cambridge Philosophical Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

48 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Shared leadership beneath the waves.Nature ecology & evolution · 2024
    Article
  13. Connecting and integrating cooperation within and between species.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  14. Collective intelligence facilitates emergent resource partitioning through frequency-dependent learning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  15. Persistent species relationships characterize migrating bird communities across stopover sites and seasons.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  16. Article
  17. The relative contribution of acoustic signals versus movement cues in group coordination and collective decision-making.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Eben GoodaleGuangxi Key Laboratory for Forest Ecology and Conservation, College of Forestry, Guangxi University, Nanning, Guangxi, 530004, China.ORCID 0000-0003-3403-2847
Hari SridharCentre for Ecological Sciences, Indian Institute of Science, Bengaluru, Karnataka, 560012, India.ORCID 0000-0003-3286-0120
Kathryn E SievingDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, 32611, U.S.A.ORCID 0000-0002-0849-8101
Priti BangalCentre for Ecological Sciences, Indian Institute of Science, Bengaluru, Karnataka, 560012, India.ORCID 0000-0002-1802-4196
Gabriel J Colorado ZDepartamento de Ciencias Forestales, Universidad Nacional de Colombia, Medellín, 050034, Colombia.ORCID 0000-0003-3807-3646
Damien R FarineDepartment of Collective Behavior, Max Planck Institute of Animal Behavior, Universitätsstrasse 10, D-78464, Konstanz, Germany.ORCID 0000-0003-2208-7613
Eckhard W HeymannDeutsches Primatenzentrum, Leibniz-Institut für Primatenforschung, D-37077, Göttingen, Germany.ORCID 0000-0002-4259-8018
Harrison H JonesDepartment of Biology, University of Florida, Gainesville, FL, 32611, U.S.A.ORCID 0000-0003-1402-4778
Indrikis KramsInstitute of Ecology and Earth Sciences, University of Tartu, Tartu, 51410, Estonia.ORCID 0000-0001-7150-4108
Ari E MartínezDepartment of Biological Sciences, California State University, Long Beach, CA, 90840, U.S.A.ORCID 0000-0001-9711-4669
Flavia Montaño-CentellasDepartment of Wildlife Ecology and Conservation, University of Florida, Gainesville, FL, 32611, U.S.A.ORCID 0000-0003-3115-3950
Jenny MuñozZoology Department and Biodiversity Research Center, University of British Columbia, Vancouver, BC, V6T 1ZA, Canada.ORCID 0000-0001-8602-4350
Umesh SrinivasanWoodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ, 08540, U.S.A.ORCID 0000-0002-8040-1124
Anne TheoCentre for Ecological Sciences, Indian Institute of Science, Bengaluru, Karnataka, 560012, India.ORCID 0000-0002-5119-1607
Kartik ShankerCentre for Ecological Sciences, Indian Institute of Science, Bengaluru, Karnataka, 560012, India.ORCID 0000-0003-4856-0093

Funding

D. R. Farine was funded by the Max Planck Society and received additional funding from the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) 2117-422037984Estonian Research Council PUT1223Latvian Council of Science lzp-2018/1-0393National Natural Science Foundation of China 31770424Special Talents Recruitment of Guangxi University 31560119United States, National Science Foundation 1640489
6 · The paper itself

Abstract

Mixed-species animal groups (MSGs) are widely acknowledged to increase predator avoidance and foraging efficiency, among other benefits, and thereby increase participants' fitness. Diversity in MSG composition ranges from two to 70 species of very similar or completely different phenotypes. Yet consistency in organization is also observable in that one or a few species usually have disproportionate importance for MSG formation and/or maintenance. We propose a two-dimensional framework for understanding this diversity and consistency, concentrating on the types of interactions possible between two individuals, usually of different species. One axis represents the similarity of benefit types traded between the individuals, while the second axis expresses asymmetry in the relative amount of benefits/costs accrued. Considering benefit types, one extreme represents the case of single-species groups wherein all individuals obtain the same supplementary, group-size-related benefits, and the other extreme comprises associations of very different, but complementary species (e.g. one partner creates access to food while the other provides vigilance). The relevance of social information and the matching of activities (e.g. speed of movement) are highest for relationships on the supplementary side of this axis, but so is competition; relationships between species will occur at points along this gradient where the benefits outweigh the costs. Considering benefit amounts given or received, extreme asymmetry occurs when one species is exclusively a benefit provider and the other a benefit user. Within this parameter space, some MSG systems are constrained to one kind of interaction, such as shoals of fish of similar species or leader-follower interactions in fish and other taxa. Other MSGs, such as terrestrial bird flocks, can simultaneously include a variety of supplementary and complementary interactions. We review the benefits that species obtain across the diversity of MSG types, and argue that the degree and nature of asymmetry between benefit providers and users should be measured and not just assumed. We then discuss evolutionary shifts in MSG types, focusing on drivers towards similarity in group composition, and selection on benefit providers to enhance the benefits they can receive from other species. Finally, we conclude by considering how individual and collective behaviour in MSGs may influence both the structure and processes of communities.

Indexed as

BiodiversityAnimalsBehavior, AnimalBehavior Observation TechniquesBiological EvolutionBirdsEatingFeeding BehaviorFishesMammalsPredatory BehaviorReptilesSpatial BehaviorTime Factorsco-evolutionevolution of socialityinterspecific communicationkeystone speciesmimicrymutualismpublic informationspecies networks

Identifiers

PMID32097520
PMCPMC7383667

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.